This study optimizes high-rise residential construction schedules using Integrated Building Platforms and genetic algorithms. By analyzing process sequences and overlapping relationships, a schedule optimization model is developed to overcome inefficiencies in traditional sequential methods. The model leverages multi-layer collaboration, enabling parallel and interwoven processes while considering overlapping logic and time constraints. Validated with a real case, the model reduced standard-floor construction from 6 to 4 days (33.3% efficiency gain) and cut idle time by 41%. The approach breaks traditional limitations, maximizing platform advantages for improved resource allocation and process management. The research offers a scientific, efficient scheduling solution for high-rise construction, demonstrating significant theoretical and practical value. It presents a novel optimization method for the building industry.
Wang et al. (2025) studied this question.